Rasyidan Akbar F

• Partnered with the SEO team to launch a programmatic SEO initiative, engineering a Gen AI automation workflow that drove an 80% increase in organic website traffic in under 30 days. • Built and deployed a lead enrichment pipeline that armed the sales team with actionable intelligence on prospects, leading to more personalized outreach and higher conversion rates. • Owned the end-to-end deployment and management of the company's core automation platform (n8n), unifying workflows across sales, SEO, and marketing to eliminate manual tasks. • Designed and maintained a web-crawling engine & data acquisition ETL pipeline to ingest, clean, and centralize store data for an enterprise client, enabling competitive intelligence and targeted merchant acquisition.

• Implemented schema validation and intuitive error-handling mechanisms, ensuring a secure auth system and frictionless registration process for users. • Developed a streamlined onboarding modal to enhance the first-time user experience, with the goal of encouraging sign-ups for scholarships, exchange programs, and language courses across Asia. The modal included interactive tutorials and personalized recommendations to guide new users through the platform’s core features. • Streamlined authentication systems by resolving critical bugs in registration, login, and email verification, enhancing reliability and user experience. Improved data integrity using Prisma ORM, fixing handling/storage issues for new user data to ensure accuracy and consistency.

Pioneered the growth engineering function as the company's first and the only data-focused hire, building the technical foundation for scalable revenue growth at a bootstrapped startup led by an ex-Y Combinator & Forbes 30u30 founder. • Developed sales data pipeline that fueled a 300% growth in monthly sales revenue. This system directly translated data insights into measurable business outcomes. • Developed a data-driven lead acquisition system that improved lead generation efficiency by 40%. Replaced subjective "gut feel" approaches with a precise, automated targeting and scraping workflow. • Spearheaded the re-architecture of the company's CRM and automated key sales workflows in partnership with the Sales Ops team. This initiative streamlined the entire sales process and was a key contributor to a 10x MRR growth since joining.

• Improved the accuracy of demand forecasting models for Kalbe’s unit products by 2-5% through hyperparameter tuning, feature engineering, and reducing Mean Absolute Percentage Error (MAPE). • Developed an automated gene validation report using the PubMed API to validate gene names from the paper extractor table. • Implemented business-critical machine learning models to address operational challenges, including moderating the temperature of sealing machines within subsidiary factions of the company. • Performed data cleaning and preprocessing to ensure high-quality and accurate datasets for AI model development. • Broadened my knowledge and acquired proficiency in large language models (LLMs) and computer vision by learning and applying various techniques, libraries, and frameworks during my internship.

Researching hand rehabilitation of stroke patients through VR and AR technology. • VR-based video on YouTube to help hand rehabilitation for stroke patients. • Google Cardboard testing for rehabilitation experiment. • Made VR application with Android Studio using Kotlin programming language and it's animation with Unity.